Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use kevintf/AIA_B_HW1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevintf/AIA_B_HW1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kevintf/AIA_B_HW1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kevintf/AIA_B_HW1") model = AutoModelForSequenceClassification.from_pretrained("kevintf/AIA_B_HW1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- model.safetensors +1 -1
- runs/Mar23_02-12-09_780f9e5b15e8/events.out.tfevents.1711161345.780f9e5b15e8.231.9 +3 -0
- runs/Mar23_02-12-09_780f9e5b15e8/events.out.tfevents.1711161379.780f9e5b15e8.231.10 +3 -0
- runs/Mar23_02-12-09_780f9e5b15e8/events.out.tfevents.1711161439.780f9e5b15e8.231.11 +3 -0
- runs/Mar23_02-12-09_780f9e5b15e8/events.out.tfevents.1711161688.780f9e5b15e8.231.12 +3 -0
- training_args.bin +1 -1
model.safetensors
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